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Predictive modeling tool

A forecasting algorithm, technology for industrial processes, applied in forecasting, comprehensive factory control, data processing applications, etc., can solve problems such as simulation and continuous optimization that have not been used in industrial applications, and achieve the effect of increasing understanding

Pending Publication Date: 2021-03-23
3M INNOVATIVE PROPERTIES CO
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  • Claims
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AI Technical Summary

Problems solved by technology

However, to date, statistical machine learning type applications have not been used for such industrial applications that allow them to be simulated and continuously optimized

Method used

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Examples

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Embodiment Construction

[0056] It should be understood that from the beginning, although exemplary specific implementation of one or more embodiments is provided below, reference Figures 1 to 26 The system and / or methods disclosed herein can be implemented using any number of techniques, whether it is known or existing. The present disclosure is not limited to the exemplary embodiments shown below, including the exemplary design and specific implementation shown in this, but can be integrated with their equivalents along with the appended claims. Change within the range.

[0057] The following methods can be used in multiple industrial processes or industrial engineering applications, rapid pricing, medical treatment, etc. of complex engineering products used in such industrial or industrial engineering applications. As used herein, "Industrial Process" or "Industrial Engineering Application" is intended to cover various technical field applications, including resin bonding wheels (such as roller mill...

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Abstract

A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data modelof the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations / optimizations.

Description

[0001] Cross-reference [0002] This patent application requires the priority equity of the priority of the US Temporary Patent Application No. 62 / 713, 025, submitted by Maiken Givot and others on August 1, 2018, the provisional patent application, according to this full-time patent application. . Technical field [0003] The present application relates to a predictive modeling tool that drives iterative machine learning applications using multivariate statistical methods and predictive models for simulation and continuous optimization industrial engineering and other applications. Background technique [0004] For more than 25 years, the use of electronic form-based modeling has been used to describe and report out the results of industrial applications. Such spreadsheets are often used to record actual performance results, and then calculate cost / value estimates based on cost increase or decrease. The report is generated by individuals and is typically stored on the local se...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/04G05B13/028G05B13/042G05B13/048
Inventor 迈肯·吉沃特马茨·E·约翰松洛塔尔·N·塔克拉尔斯·M·维斯特兰德约翰·N·威尔科克
Owner 3M INNOVATIVE PROPERTIES CO
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